• Title/Summary/Keyword: hog

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Monitoring System using Fuzzy Contrast and HOG Method (퍼지 콘트라스트와 HOG 기법을 이용한 감시 시스템)

  • Jang, Hyun-Woo;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.178-181
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    • 2012
  • 본 논문에서는 퍼지 콘트라스트와 HOG 기법을 이용한 감시 시스템을 제안한다. 제안된 감시 시스템은 감시 영상에서 명암 대비를 강조하기 위해 퍼지 콘트라스트 기법을 적용한 후, 감시 전/후 영상에 Substraction기법을 적용한다. Substraction 기법이 적용된 영상에서 히스토그램의 변화가 클 경우에는 침입자의 침입으로 간주한다. 침입으로 간주된 영상에서 감시 대상의 물체를 감시할 영상과 침입자를 실시간으로 추적하기 위한 영상으로 구분한다. 감시 대상의 물체를 감시할 영상에서는 퍼지 이진화를 적용한다. 퍼지 이진화를 적용한 영상에서 Blob 기법을 적용하여 객체화한 후, 침입된 침입자의 영상을 저장한다. 침입자를 실시간으로 추적할 영상에서는 HOG 기법을 적용한 후, SVM을 이용하여 움직이는 사람의 객체를 추적한다. 제안된 방법을 실시간 영상에 적용한 결과, 제안된 감시 시스템이 효율적으로 침입자를 감시하는 것을 확인할 수 있었다.

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Pedestrian Detection using HOG Feature and Multi-Frame Operation (HOG 특징과 다중 프레임 연산을 이용한 보행자 탐지)

  • Seo, Chang-jin;Ji, Hong-il
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.64 no.3
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    • pp.193-198
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    • 2015
  • A large number of vision applications rely on matching keypoints across images. Pedestrian detection is under constant pressure to increase both its quality and speed. Such progress allows for new application. A higher speed enables its inclusion into large systems with extensive subsequent processing, and its deployment in computationally constrained scenarios. In this paper, we focus on improving the speed of pedestrian detection using HOG(histogram of oriented gradient) and multi frame operation which is robust to illumination changes in cluttering images. The result of our simulation indicates that the detection rate and speed of the proposed method is much faster than that of conventional HOG and differential images.

Edge Preserving using HOG Guide Filter for Image Segmentation (영상 분할을 위한 HOG 가이드 필터를 적용한 엣지 보존 기술)

  • OH, Young-Jin;Kang, Hang-Bong
    • Journal of Korea Multimedia Society
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    • v.18 no.10
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    • pp.1164-1171
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    • 2015
  • The edge preserving method is important for image storage and geometric transformation. In this paper, we propose a new edge preserving method using HOG-Guide filter for image segmentation. In our approach, we extract edge information using gradient histogram to set HOG guide line. Then, we use HOG guide line to smooth image. With two to four iterations of smoothing operations, we finally obtain desirable edge preserved image. Our experimental results showed good performances showing that our proposed method is better than other methods.

Middle Ear Disease Decision Scheme using HOG Descriptor (HOG 기술자를 이용한 중이염 자동 판별 방법)

  • Jung, Na-ra;Song, Jae-wook;Kang, Hyun-soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.693-694
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    • 2015
  • This paper present a decision method of middle ear disease which is developed in children and adults. In the proposed method, features are extracted from the middle ear disease images and normal images using HOG(histogram of oriented gradient) descriptor and the extracted features are learned by SVM(support vector machine) classifier. Input images are classified by SVM classifier based on the model of learning features. Experimental results show that the method yields accuracy of over 90% in decision.

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Pictogram Sign Recognition in Subway using HOG and SVM (HOG와 SVM을 사용한 지하철 실내 픽토그램 인식)

  • Kim, Sul-Ho;Choi, Hyung-Il;Kim, Gye-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.01a
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    • pp.205-208
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    • 2012
  • 지하철 실내의 표지판은 다양한 정보들을 포함하고 있다. 그 중에서 시설물의 형상을 단순화하여 나타낸 픽토그램 사인은 국제적으로 표준화 되어 있어 검출이 용이하다고 볼 수 있다. 일반적으로 객체를 인식하는 방법은 후보영역을 설정하는 검출단계와 후보영역을 인식하는 단계로 나뉘어 진다. 본 논문에서는 후보영역 검출단계에서 단일 값을 가지는 이진화로 픽토그램 영역이 분리가 잘 안되는 문제점을 해결하기 위하여 적응적 이진화를 사용하였고 인식을 위한 특징추출로 HOG서술자를 사용하고 학습과 인식에는 SVM을 사용하였다. 실험 결과를 통하여 HOG서술자로 픽토그램 사인을 인식하는 것이 적합한 것인지 확인한다.

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A Study on the SIFT, SURF, and HOG Features of Image in the field of Surface Defect Inspection (표면결함검사에서 SIFT, SURF, HOG 영상의 특징에 관한 연구)

  • Jeon, Young-Min;Lee, In-Haeng;Bae, Keun-Bin;Ji, Hong-Geun;Bae, You-Seok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.403-406
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    • 2019
  • 논문에서는 스마트 공장 시스템의 표면 결함 검사 시에 영상의 특징인 SIFT, SURF, HOG 특징들을 이용하여 표면 결함 검출에 활용하는 연구를 다루었습니다. 먼저 SIFT, SURF, HOG 특징에 대하여 소개하고 실험에서 이 특징들이 사용될 수 있음을 결과를 통해 보였습니다.

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A Ferroxidase, Cfo1, Regulates Diverse Environmental Stress Responses of Cryptococcus neoformans through the HOG Pathway

  • Lee, Kyung-Tae;Lee, Jang-Won;Lee, Dohyun;Jung, Won-Hee;Bahn, Yong-Sun
    • Mycobiology
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    • v.42 no.2
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    • pp.152-157
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    • 2014
  • The iron uptake and utilization pathways play a critical role in allowing human pathogens, including Cryptococcus neoformans, the causative agent of fatal meningoencephalitis, to survive within the mammalian body by competing with the host for iron. Here we show that the iron regulon is also required for diverse environmental stress responses and that in C. neoformans, it is regulated by the high-osmolarity glycerol response (HOG) pathway. Between CFO1 and CFO2, two ferroxidase genes in the iron regulon, CFO1 but not CFO2 was induced during oxidative and osmotic stress. Interestingly, we found that the HOG pathway repressed basal expression of both CFO1 and CFO2. Furthermore, when the HOG pathway was blocked, CFO2 also responded to oxidative and osmotic stress and the response of CFO1 was increased. We also established that CFO1 plays a major role in responding and adapting to diverse environmental stresses, including oxidative and genotoxic damage, osmotic fluctuations, heavy metal stress, and stress induced by cell membrane destabilizers. Therefore, our findings indicate that in C. neoformans, the iron uptake and utilization pathways are not only required for iron acquisition and survival, but also play a significant role in the environmental stress response through crosstalk with the HOG pathway.

Histopathologic Studies on the Brain and Lymphoid Organs in Hog Cholera III. Encephalitis of Pigs and Rabbits (Hog Cholera 병돈(病豚)의 뇌(腦) 및 임파장기(淋巴臟器)에 관한 병리조직학적(病理組織學的) 연구(硏究) III. 뇌염소견(腦炎所見)에 대하여)

  • Kwak, Soo-Dong;Lee, Cha-Soo
    • Korean Journal of Veterinary Research
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    • v.22 no.2
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    • pp.197-209
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    • 1982
  • This study was undertaken to clarify the histopathological changes of pigs naturally infected with hog cholera. Microscopic observations of the brain as well as clinical observations were carried out for the naturally and experimentally infected pigs with hog cholera viruses. Electron microscopically the vascular cuffings of the brain were also observed in the experiment. In addition, clinical and pathological studios were carried out in the rabbits inoculated with ALD, lapinized and isolated strain of hog cholera virus, respectively. The results obtained are as follows; Vascular cuffing of the brain was observed in about 97% of the natural cases and all of the experimental cases. Among the 496 cuffed blood vessels of natural cases, intramural cuffing (82.9%), intramural and perivascular cuffing (11.9%) and perivascular cuffing (5.2%) were seen, respectively. Electron microscopic findings on cuffed blood vessels of the brain were endothelial cellular degeneration, intramural separation and vacuolation, perivascular vacuolation and infiltration of pleomorphic lymphoid cells. In the rabbits dosed with tissue suspension of the lymphoid organs and isolated hog cholera virus, high body temperature and vascular cuffing of the brain were observed, meanwhile these changes were more significant in pre-injected cased with indian ink.

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A Neuro-Fuzzy Pedestrian Detection Method Using Convolutional Multiblock HOG (컨볼루션 멀티블럭 HOG를 이용한 퍼지신경망 보행자 검출 방법)

  • Myung, Kun-Woo;Qu, Le-Tao;Lim, Joon-Shik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.7
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    • pp.1117-1122
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    • 2017
  • Pedestrian detection is a very important and valuable part of artificial intelligence and computer vision. It can be used in various areas for example automatic drive, video analysis and others. Many works have been done for the pedestrian detection. The accuracy of pedestrian detection on multiple pedestrian image has reached high level. It is not easily get more progress now. This paper proposes a new structure based on the idea of HOG and convolutional filters to do the pedestrian detection in single pedestrian image. It can be a method to increase the accuracy depend on the high accuracy in single pedestrian detection. In this paper, we use Multiblock HOG and magnitude of the pixel as the feature and use convolutional filter to do the to extract the feature. And then use NEWFM to be the classifier for training and testing. We use single pedestrian image of the INRIA data set as the data set. The result shows that the Convolutional Multiblock HOG we proposed get better performance which is 0.015 miss rate at 10-4 false positive than the other detection methods for example HOGLBP which is 0.03 miss rate and ChnFtrs which is 0.075 miss rate.

Effects of Marketted-pigs per Sow per Year to recognition of Hog Farm Business Management (양돈농가 경영관리별 인식이 MSY에 미치는 영향)

  • Choi, Hyun-ho;Shin, Jeong-Seop;Suh, Dong-kyun;Cheon, Dong-won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.3837-3844
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    • 2015
  • This study recommends effective ways to establish management strategies by suggesting to hog farm managers the importance of variables' tendency to affect MSY according to hog management. Study subjects included 55 hog farms, which were analyzed using factor and regression analyses to determine each variable's importance (22 total) for hog management, using MSY as the dependent variable. In the analysis result, the main necessary factor controlling MSY improvement was vaccination, followed, according to decreasing significance, by stages of growth classified breeding, thermo-humidity and ventilation control, and veterinary and hygienic control. Based on these results, suggesting the main factors to improve MSY to hog farms will establish management strategies.